This paper presents a technique for vibration‐based damage detection and localization in engineering structures based on the high‐speed three‐dimensional Digital Image Correlation (HS 3D‐DIC) and local modal filtration. The efficacy of the proposed procedure is demonstrated on a frame structure with different severities of localized damage. The full‐field vibration data acquired under the white noise excitation provided the input to the damage identification algorithm. The spatial density of sensors on a test structure is one of the critical factors in the accurate localization of damage. Hence, the use of vision‐based vibration measurement methods, such as the Digital Image Correlation (DIC) is very advantageous as it provides full‐field quantification of dynamic displacement fields in three dimensions. Both numerical simulations with the use of Finite Element (FE) code and experimental tests with the use of high‐speed digital cameras were performed to confirm the validity of the proposed approach. The research confirmed that it is feasible to use the proposed approach to detect and localize damage in a frame structure under random vibration excitation with a localization accuracy of a few percent of the field of view dimensions. On the basis of the obtained results, we believe that there is a great practical potential of this approach when applied to real‐life engineering structures.

中文翻译：

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使用高速数字图像关联和局部模态滤波识别框架结构中的损伤

本文介绍了一种基于高速三维数字图像相关性（HS 3D-DIC）和局部模态滤波的工程结构中基于振动的损伤检测和定位技术。在具有不同严重程度的局部损坏的框架结构上证明了所提出程序的有效性。在白噪声激励下获得的全场振动数据为损伤识别算法提供了输入。测试结构上传感器的空间密度是精确定位损坏的关键因素之一。因此，使用基于视觉的振动测量方法（例如数字图像相关性（DIC））非常有利，因为它可以对三维动态位移场进行全场量化。使用有限元（FE）代码进行的数值模拟以及使用高速数码相机进行的实验测试都证实了该方法的有效性。研究证实，使用该方法在随机振动激励下检测和定位框架结构中的损伤是可行的，其定位精度仅为视场尺寸的百分之几。根据获得的结果，我们认为将这种方法应用于现实工程结构具有很大的实践潜力。研究证实，使用该方法在随机振动激励下检测和定位框架结构中的损伤是可行的，其定位精度仅为视场尺寸的百分之几。根据获得的结果，我们认为将这种方法应用于现实工程结构具有很大的实践潜力。研究证实，使用该方法在随机振动激励下检测和定位框架结构中的损伤是可行的，其定位精度仅为视场尺寸的百分之几。根据获得的结果，我们认为将这种方法应用于现实工程结构具有很大的实践潜力。